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Series GSE137391 Query DataSets for GSE137391
Status Public on Oct 16, 2019
Title Transcriptomics profiling of some commonly used cell lines at the base-line culture condition
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary In vivo, melanoma cells transition though distinct phenotypic states in response to a changing microenvironment, and most notably can switch between invasive and proliferative phenotypes characterized by high and low levels of MITF activity (Hoek and Goding, 2010; Hoek et al., 2008). Since melanoma cell lines isolated from human tumors tend also to fall into either proliferative or invasive, slow-growing phenotypes (Hoek et al., 2006), it seems likely that established lines reflect specific phenotypic states within tumors, including those detected using single cell RNA-seq, that are then fixed and maintained under nutrient–rich culture conditions where the microenvironmental stresses encountered in vivo are absent. Indeed, it has been shown that melanoma cell lines presenting distinct phenotypic states exhibit very different responses to microenvironmental cues such as hypoxia (Louphrasitthiphol et al., 2019). The aim of this study is to characterise some of the commonly use cell lines and assign each with a phenotypic state base on its transcriptomics.
 
Overall design Indicated cell line were grown in RPMI without any treatment prior to RNA extraction and sequencing
 
Contributor(s) Louphrasitthiphol P, Goding CR
Citation(s) 31733993
Submission date Sep 13, 2019
Last update date Nov 28, 2019
Contact name Pakavarin Louphrasitthiphol
E-mail(s) pakavarin.louphrasitthiphol@ludwig.ox.ac.uk
Phone 01865 617543
Organization name Ludwig Institute for Cancer Research
Department Nuffield Department of Clinical Medicine
Lab Prof. CRGoding
Street address Old Road Campus Research Building (off Roosevelt Drive)
City Oxford
ZIP/Postal code OX3 7DQ
Country United Kingdom
 
Platforms (1)
GPL20301 Illumina HiSeq 4000 (Homo sapiens)
Samples (24)
GSM4078145 501mel_1
GSM4078146 501mel_2
GSM4078147 501mel_3
This SubSeries is part of SuperSeries:
GSE137392 MITF regulates SCD and fatty acid saturation to control melanoma phenotypic state.
Relations
BioProject PRJNA565366
SRA SRP221555

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE137391_edgeR_cell_lines_normalised_logCPM.txt.gz 1.5 Mb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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